#Store All the Things

Noms is a content-addressed, immutable, decentralized, strongly-typed database.

In other words, Noms is Git for data.

Setup

1. Install Go 1.6+
2. Ensure your $GOPATH is configured
3. Type type type:

git clone https://github.com/attic-labs/noms $GOPATH/src/github.com/attic-labs/noms
go install github.com/attic-labs/noms/cmd/...

noms log http://demo.noms.io/cli-tour:film-locations

Samples  |  Command-Line Tour  |  JavaScript SDK Tour  |  Intro to Noms

Features

Versioning Each commit is retained and can be viewed or reverted goto: noms log	Type inference Each dataset has a precise schema that is automatically inferred goto: type accretion	Atomic commits Immutability enables atomic commits of any size goto: Database and Datasets
Diff Compare structured datasets of any size efficiently goto: noms diff	Schema versioning Narrow or widen schemas instantly, without rewriting data goto: type accretion	Sorted indexes Fast range queries, on a single or a combination of attributes goto: indexing
Fork Create your own isolated branch of a dataset to work on goto: noms sync	Schema validation (soon) Optionally constrain commit types on a per-dataset basis goto: types	Insanely easy import Noms auto-dedupes snapshots and generates a precise changelog goto: fb import sample
Sync Sync disconnected database instances efficiently and correctly goto: noms sync	Structural typing Index, search, and match data by structure shape goto: types	Awesome export Use dataset history to precisely apply sync changes out of Noms Example coming soon

Use Cases

We're just getting started, but here are a few use cases we think Noms is especially well-suited for:

• Data collaboration—Work on data together. Track changes, fork, merge, sync, etc. The entire Git workflow, but on large-scale, structured data.
• ETL—ETL based on Noms is inherently incremental, undoable, idempotent, and auditable.
• Data integration and enrichment—A content-addressed database should be a really nice place to do data integration. Enrichments can be modeled as extensions to source data which are trivially undoable.
• Decentralized database—Noms is a natural fit to move structured data around certain kinds of widely decentralized applications.

Get Involved

Noms is developed in the open. Come say hi.

• Mailing List
• Slack
• Twitter